Demographic and Health Survey Data Analysis in R and RStudio

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Free Download Demographic and Health Survey Data Analysis in R and RStudio
Published 12/2025
Created by Md Ahshanul Haque
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 69 Lectures ( 5h 23m ) | Size: 3.51 GB

Practical Survey Data Analysis Using RStudio & R with DHS Data for Public Health Research
What you'll learn
Import, understand, and manage Demographic and Health Survey (DHS) data in R and RStudio
Perform descriptive and exploratory analysis of DHS survey data using R
Apply survey design concepts and conduct survey-weighted analyses in R
Analyze key public health topics (childhood malnutrition, maternal health, child feeding, women's empowerment) using DHS data
Produce clean, reproducible, and publication-ready tables and results from DHS data
Requirements
Basic familiarity with R and RStudio is helpful but not mandatory
A computer with R and RStudio installed
Interest in data analysis, public health, or survey data
Description
This course provides a practical, step-by-step guide to Demographic and Health Survey (DHS) data analysis using R and RStudio for public health, epidemiology, and health research. It is designed for MSc, MPH, PhD students, researchers, and data analysts who want to analyze survey data and produce publication-ready tables and figures.You will learn how to work with DHS/NFHS-type survey datasets using RStudio, starting from data preparation and variable modification to descriptive, univariate, and bivariate analysis. The course covers both unweighted and survey-weighted (svy) analysis, including correct handling of sampling weights, clusters, and strata.Key topics include descriptive statistics, chi-square tests, t-tests, bar diagrams, box plots, and logistic regression for binary outcomes such as stunting, underweight, and wasting. You will learn how to estimate unadjusted and adjusted odds ratios, change reference categories, interpret results correctly, and generate publication-ready tables using the gtsummary package.The course also emphasizes data visualization with ggplot2, showing how to create clean, professional graphs suitable for theses, reports, and journal articles. You will learn how to export tables and figures to Microsoft Word while preserving formatting.This is a hands-on, applied course, using real DHS-style data examples from countries such as Bangladesh, India, Nepal, Ethiopia, Nigeria, Kenya, and Tanzania. Advanced topics such as GEE, multilevel models, and longitudinal analysis will be added progressively.By the end of this course, you will be confident in analyzing survey data in RStudio and producing results ready for academic publication and policy research.
Who this course is for
Graduate students (MPH, MSc, PhD) working with Demographic and Health Survey (DHS) data
Professionals and researchers who want to produce publication-ready analyses from DHS data
Data analysts and statisticians interested in analyzing survey data using R
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3.51 GB | 13min 22s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English​

Files Included :

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FileName :1 Welcome to RStudio for DHS Data Analysis.mp4 | Size: (33.39 MB)
FileName :2 Course Overview RStudio Statistics & Publication Workflow.mp4 | Size: (88.32 MB)
FileName :3 Importing Tanzania DHS Data from Stata ( dta) Files.mp4 | Size: (20.05 MB)
FileName :4 Importing Tanzania DHS Data from SPSS ( sav) Files.mp4 | Size: (17.46 MB)
FileName :5 Reading DHS Data from Other Countries (Peru Ethiopia).mp4 | Size: (35.45 MB)
FileName :6 Understanding DHS Variables Using Codebooks.mp4 | Size: (69.64 MB)
FileName :7 Selecting Variables Using the select() Function (Examples).mp4 | Size: (60.92 MB)
FileName :8 Creating a Short Summary Table Using the gtsummary Package.mp4 | Size: (12.08 MB)
FileName :9 Key DHS Variables for Stunting Wasting and Underweight.mp4 | Size: (30.68 MB)
FileName :10 Choosing DHS Variables for Nutritional Indicators and Covariates CodeBook.mp4 | Size: (59.12 MB)
FileName :11 Preparing Factor (Categorical) Variables and Value Labels.mp4 | Size: (46.79 MB)
FileName :12 Preparing Numerical (Continuous) Variables from the DHS Dataset.mp4 | Size: (42.09 MB)
FileName :13 Identifying Unusual extreme Values and Correcting Decimal Points.mp4 | Size: (45.68 MB)
FileName :14 Replacing Extreme and Unusual Values with Missing and Generating New Variables.mp4 | Size: (81.99 MB)
FileName :15 Generating Nutritional Indicators Stunting Wasting and Underweight.mp4 | Size: (72.73 MB)
FileName :16 Finalizing the Variable List for Analysis Nutritional and covariates.mp4 | Size: (33.05 MB)
FileName :17 Short Summary of Updated Variables Review of Finalized and Updated Variables.mp4 | Size: (33.84 MB)
FileName :18 Modifying Value Labels for Factor Variables.mp4 | Size: (100.57 MB)
FileName :19 Renaming Variables Based on Variable Names and Meaning.mp4 | Size: (71.24 MB)
FileName :20 Adding Variable Labels to the Current Dataset.mp4 | Size: (117.16 MB)
FileName :21 Saving the Dataset in RData Format.mp4 | Size: (33.16 MB)
FileName :22 Univariate Descriptive Statistics (Unweighted Analysis) gtsummary.mp4 | Size: (52.52 MB)
FileName :23 Formatting Categorical Variables as n (%).mp4 | Size: (25.28 MB)
FileName :24 Formatting Continuous Variables as Mean ± Standard Deviation.mp4 | Size: (15.85 MB)
FileName :25 Setting Decimal Places for Statistical Results.mp4 | Size: (27.36 MB)
FileName :26 Bivariate Analysis Using Column Percentages (Unweighted).mp4 | Size: (15.59 MB)
FileName :27 Adding Overall Findings to Bivariate Tables.mp4 | Size: (60.22 MB)
FileName :28 Adding p Values Using t Test and Chi Square Test (Unweighted).mp4 | Size: (41.71 MB)
FileName :29 Exporting Publication Ready Tables to MS Word.mp4 | Size: (48.01 MB)
FileName :30 Setting Up Survey Design (svyset svydesign).mp4 | Size: (32.95 MB)
FileName :31 Univariate Descriptive Statistics (Survey Weighted).mp4 | Size: (24.12 MB)
FileName :32 Checking Findings Against Published Reports.mp4 | Size: (12.65 MB)
FileName :33 Table Formatting - n (%) and Mean ± SD (Survey Weighted).mp4 | Size: (47.51 MB)
FileName :34 Survey Weighted Bivariate Analysis (svy).mp4 | Size: (37.44 MB)
FileName :35 Survey Weighted Chi Square Test and p Value (svy).mp4 | Size: (70.51 MB)
FileName :36 Exporting Survey Weighted Tables to MS Word (Publication Ready).mp4 | Size: (48.14 MB)
FileName :37 Bar Diagram for a Single Categorical Variable.mp4 | Size: (59.8 MB)
FileName :38 Bar Diagram for a Single Categorical Variable - Customization & Labeling.mp4 | Size: (58.91 MB)
FileName :39 Bar Diagram for Two Categorical Variables (Grouped Bar Chart).mp4 | Size: (93.64 MB)
FileName :40 Bar Diagram for a Binary Variable by One Categorical Variable.mp4 | Size: (82.81 MB)
FileName :41 Bar Diagram for a Binary Variable by Two Categorical Variables.mp4 | Size: (141.58 MB)
FileName :42 Removing Background and Using Clean Themes in ggplot2.mp4 | Size: (27.89 MB)
FileName :43 Bar Diagram for Multiple Binary Variables.mp4 | Size: (168.77 MB)
FileName :44 Exporting Figures to a Folder in RStudio (Publication Ready).mp4 | Size: (61.3 MB)
FileName :45 Box Plot for a Single Continuous Variable.mp4 | Size: (20.37 MB)
FileName :46 Box Plot for a Single Continuous Variable - Labeling & Customization.mp4 | Size: (52.32 MB)
FileName :47 Box Plot for a Single Continuous Variable by One Categorical Variable.mp4 | Size: (29.17 MB)
FileName :48 Box Plot for a Single Continuous Variable by Two Categorical Variables.mp4 | Size: (22.7 MB)
FileName :49 Modifying and Labeling Box Plots for Publication Ready Graphics.mp4 | Size: (87.19 MB)
FileName :50 Defining the Outcome Variable for Logistic Regression.mp4 | Size: (21.16 MB)
FileName :51 Simple Logistic Regression (Unadjusted Odds Ratio).mp4 | Size: (64.96 MB)
FileName :52 Multiple Logistic Regression (Adjusted Odds Ratios).mp4 | Size: (29.33 MB)
FileName :53 Changing Reference Categories for Categorical Independent Variables.mp4 | Size: (65.91 MB)
FileName :54 Recap - Variable Modification for Logistic Regression.mp4 | Size: (86.28 MB)
FileName :55 Publication Ready Table for Unadjusted Odds Ratios.mp4 | Size: (133.1 MB)
FileName :56 Publication Ready Table for Adjusted Odds Ratios (AOR).mp4 | Size: (54.88 MB)
FileName :57 Final - Publication Ready Table (Unadjusted & Adjusted Odds Ratios).mp4 | Size: (28.66 MB)
FileName :58 Saving Publication Ready Tables in MS Word.mp4 | Size: (34.16 MB)
FileName :59 Factors Associated with Stunting Underweight and Wasting.mp4 | Size: (121.46 MB)
FileName :60 Defining the Outcome and Independent Variables.mp4 | Size: (21.44 MB)
FileName :61 Simple Linear Regression.mp4 | Size: (30.43 MB)
FileName :62 Multiple Linear Regression.mp4 | Size: (29.5 MB)
FileName :63 Defining Survey Design for Logistic Regression.mp4 | Size: (33.11 MB)
FileName :64 Survey Weighted Simple Logistic Regression.mp4 | Size: (28.75 MB)
FileName :65 Survey Weighted Multiple Logistic Regression.mp4 | Size: (18.49 MB)
FileName :66 Changing Reference Categories in svy Models.mp4 | Size: (38.57 MB)
FileName :67 Publication Ready Tables for svy Logistic Regression Crude Odds Ratio.mp4 | Size: (93.37 MB)
FileName :68 Publication Ready Tables for svy Logistic Regression Adjusted Odds Ratios.mp4 | Size: (39.37 MB)
FileName :69 Final publication ready Table and Exporting svy Logistic Regression to MS Word.mp4 | Size: (52.99 MB)

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